{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eec68953",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch      : 1.12.1\n",
      "lightning  : 2022.9.22\n",
      "torchvision: 0.13.1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -p torch,lightning,torchvision"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f12b3cd-04c2-479b-a8bc-3f069686786e",
   "metadata": {},
   "source": [
    "**Note**\n",
    "\n",
    "Use convention `\"loss/train\"`, `\"loss/val\"` etc. for logging in LightningModule such that tensorboard shows the training and validation curves in the same plot. See [`./shared_utils.py`](./shared_utils.py) for an example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e80fef60",
   "metadata": {},
   "outputs": [],
   "source": [
    "import lightning as L\n",
    "from lightning.pytorch.loggers import TensorBoardLogger\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import torchvision\n",
    "import torch.nn.functional as F\n",
    "import torchmetrics\n",
    "\n",
    "from shared_utilities import PyTorchMLP, LightningModel, MnistDataModule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "05b96fd6-f103-4bdd-b9a1-9c61ba3eb049",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Global seed set to 123\n"
     ]
    }
   ],
   "source": [
    "L.seed_everything(123)\n",
    "dm = MnistDataModule(batch_size=64)\n",
    "dm.prepare_data()\n",
    "dm.setup()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bb2b239a-3158-437d-8bd7-5d2655a50a58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for images, labels in dm.train_dataloader():  \n",
    "    break\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.axis(\"off\")\n",
    "plt.title(\"Training images\")\n",
    "plt.imshow(np.transpose(torchvision.utils.make_grid(\n",
    "    images[:64], \n",
    "    padding=1,\n",
    "    pad_value=1.0,\n",
    "    normalize=True),\n",
    "    (1, 2, 0)))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aa7bcf14-8046-4213-accf-544b67e74883",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Global seed set to 123\n",
      "GPU available: True (mps), used: False\n",
      "TPU available: False, using: 0 TPU cores\n",
      "IPU available: False, using: 0 IPUs\n",
      "HPU available: False, using: 0 HPUs\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ce6a126a381349c9b61b7fdf2ba430c4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Finding best initial lr:   0%|          | 0/100 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`Trainer.fit` stopped: `max_steps=100` reached.\n",
      "Learning rate set to 0.47863009232263803\n",
      "Restoring states from the checkpoint path at /Users/sebastian/Developer/github_rasbt/machine-learning-notes/evaluation/lightning-jupyter-tensorboard/.lr_find_cb4d87ca-2f4d-4c47-acef-69b77cc14fa8.ckpt\n"
     ]
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "\n",
    "L.seed_everything(123)\n",
    "dm = MnistDataModule()\n",
    "\n",
    "pytorch_model = PyTorchMLP(num_features=784, num_classes=10)\n",
    "lightning_model = LightningModel(model=pytorch_model, learning_rate=0.1)\n",
    "\n",
    "trainer = L.Trainer(\n",
    "    max_epochs=10,\n",
    "    auto_lr_find=True,\n",
    "    accelerator=\"cpu\",\n",
    "    devices=\"auto\",\n",
    "    logger=TensorBoardLogger(save_dir=\"logs/\", name=\"my-model\"),\n",
    "    deterministic=True,\n",
    ")\n",
    "\n",
    "results = trainer.tune(model=lightning_model, datamodule=dm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9abe1027-3ec8-4597-9188-1068ee91df3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.47863009232263803\n"
     ]
    }
   ],
   "source": [
    "# get suggestion\n",
    "new_lr = results[\"lr_find\"].suggestion()\n",
    "print(new_lr)\n",
    "\n",
    "# update hparams of the model\n",
    "lightning_model.hparams.learning_rate = new_lr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "14d23b49-4c47-4bb1-bf6c-b87aabf0b22d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  | Name      | Type       | Params\n",
      "-----------------------------------------\n",
      "0 | model     | PyTorchMLP | 84.4 K\n",
      "1 | train_acc | Accuracy   | 0     \n",
      "2 | val_acc   | Accuracy   | 0     \n",
      "3 | test_acc  | Accuracy   | 0     \n",
      "-----------------------------------------\n",
      "84.4 K    Trainable params\n",
      "0         Non-trainable params\n",
      "84.4 K    Total params\n",
      "0.337     Total estimated model params size (MB)\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Sanity Checking: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5b7ab9503e4140ee8376d185aa73fbe3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Validation: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`Trainer.fit` stopped: `max_epochs=10` reached.\n"
     ]
    }
   ],
   "source": [
    "trainer.fit(model=lightning_model, datamodule=dm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3d4b7eb3-9f3c-4095-ad85-b37acf4557dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "      <iframe id=\"tensorboard-frame-c4da537c1651ddae\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
       "      </iframe>\n",
       "      <script>\n",
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       "          const frame = document.getElementById(\"tensorboard-frame-c4da537c1651ddae\");\n",
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       "<IPython.core.display.HTML object>"
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   "source": [
    "%reload_ext tensorboard\n",
    "%tensorboard --logdir=logs"
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   "cell_type": "code",
   "execution_count": 13,
   "id": "27a7e4b8-a243-4a2b-99a9-35b32dbf0398",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/sebastian/miniforge3/envs/ptlcourse/lib/python3.9/site-packages/pytorch_lightning/trainer/connectors/data_connector.py:236: PossibleUserWarning: The dataloader, test_dataloader 0, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 8 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
      "  rank_zero_warn(\n"
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       "model_id": "72910d28e27f417491cd57b65291143a",
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      "text/plain": [
       "Testing: 0it [00:00, ?it/s]"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\">        Test metric        </span>┃<span style=\"font-weight: bold\">       DataLoader 0        </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│<span style=\"color: #008080; text-decoration-color: #008080\">         acc/test          </span>│<span style=\"color: #800080; text-decoration-color: #800080\">    0.9793000221252441     </span>│\n",
       "└───────────────────────────┴───────────────────────────┘\n",
       "</pre>\n"
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       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1m       Test metric       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      DataLoader 0       \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│\u001b[36m \u001b[0m\u001b[36m        acc/test         \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m   0.9793000221252441    \u001b[0m\u001b[35m \u001b[0m│\n",
       "└───────────────────────────┴───────────────────────────┘\n"
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    {
     "data": {
      "text/plain": [
       "[{'acc/test': 0.9793000221252441}]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
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    "trainer.test(model=lightning_model, datamodule=dm)"
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   "execution_count": null,
   "id": "44b0ee8c-7115-488e-abda-c73610cfa373",
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   "outputs": [],
   "source": []
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